Karmelie Jane Monaya Date Submitted: June 27, 2013
Kean Gerard Sumayo
Experiment 1
APPLICATION OF STATISTICAL CONCEPTS IN THE
DETERMINATION OF WEIGHT VARIATION IN SAMPLES
I. OBJECTIVES
1. To determine the use of the different statistical concepts 2. To perform the proper applications of the statistical methods/ concepts on determining the weight variations of samples
II. RESULTS and DISCUSSIONS
A. Weight of Samples
Ten 1-peso coins were used as samples for this experiment and were weighed carefully using an analytical balance. Data Set 1 is comprised of the first six samples while Data Set 2 is comprised of all the ten samples.
Table 1. Weight in grams of 10 samples
|Sample No. |Weight in grams |
|1 |5.5263 |Data Set 2|Data Set 1|
|2 |5.4089 | | |
|3 |6.0390 | | |
|4 |5.2800 | | |
|5 |5.3859 | | |
|6 |5.2767 | | |
|7 |5.4385 | |
|8 |5.2464 | |
|9 |6.0274 | |
|10 |5.4266 | |
B. Q-Test
After weighing the samples, the highest and lowest values were identified from each data set and the Q-test was used. The highest and lowest values for each Data Set were obtained. The value solved was compared to the limit
References: http://www.chem.uoa.gr/applets/AppletQtest/Text_Qtest2.htm http://www.cqu.edu.au/__data/assets/pdf_file/0009/15966/STSD.pdf http://www.statsdirect.co.uk/help/basics/ci.htm IV. COMMENTS There was a huge variation between the calculated values from Data Set 1 and Data Set 2. This might have been caused by systematical or personal errors. All measurements have errors associated with them. There was a poor precision with the weights obtained which have caused the great variations between the calculations of both data sets.